{"id":"W2555392757","doi":"10.1364/optica.3.001308","title":"Hollow-core-waveguide compression of multi-millijoule CEP-stable 32  μm pulses","year":2016,"lang":"en","type":"article","venue":"Optica","topic":"Laser-Matter Interactions and Applications","field":"Physics and Astronomy","cited_by":87,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds de recherche du Québec – Nature et technologies; Austrian Science Fund; Canada Foundation for Innovation; Marketing Science Institute","keywords":"Materials science; Pulse compression; Optics; Self-phase modulation; Dispersion (optics); Carrier-envelope phase; Amplifier; Nonlinear optics; Core (optical fiber); Envelope (radar); Laser; Optoelectronics; Physics; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0000413875,0.0001044563,0.0001452283,0.0000336411,0.0001038527,0.00002314293,0.0001488143,0.00002364952,0.003062344],"category_scores_gemma":[0.000004608274,0.00006833376,0.00008594746,0.00007974888,0.0000564897,0.0001341584,0.00006582437,0.00005573125,0.0003885181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001068082,"about_ca_system_score_gemma":0.00002189522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001856302,"about_ca_topic_score_gemma":0.000004129905,"domain_scores_codex":[0.9993172,0.00001146826,0.0002233447,0.0001795826,0.00009049202,0.0001778661],"domain_scores_gemma":[0.999332,0.00008157448,0.00009676123,0.00033784,0.00008192431,0.00006989449],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002564199,0.00117591,0.02806977,0.00002161315,0.000123638,0.000001163379,0.000130977,0.00009167731,0.8741042,0.0366005,0.03337745,0.02627745],"study_design_scores_gemma":[0.001885629,0.0000725171,0.01346776,0.0003265609,0.00008740997,0.000002413623,0.0003930789,0.001955433,0.6628774,0.003894273,0.3145467,0.0004908239],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7576832,0.00003363494,0.0940519,0.001891177,0.0003171916,0.0004461151,0.0007459187,0.00007489762,0.1447559],"genre_scores_gemma":[0.9850421,0.000003687995,0.006172366,0.00003399259,0.00009564341,0.00005292354,0.00002432594,0.00001484625,0.008560112],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2811692,"threshold_uncertainty_score":0.997849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02989865095989027,"score_gpt":0.29589077941324,"score_spread":0.2659921284533497,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}